Calculate win probabilities using Monte Carlo simulation. Select your hand, opponent's hand (optional), and board cards to compute equity distributions.
Higher iterations = more accurate results (10,000-50,000 recommended)
This Monte Carlo simulator uses randomized sampling to approximate equity distributions. The engine deals random cards thousands of times, evaluates all hands using standard poker hand rankings, and aggregates the results to produce statistically significant win/loss/tie percentages. For academic purposes only - not for real-time gameplay.